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公开(公告)号：US09460367B2
公开(公告)日：2016-10-04
申请号：US14561512
申请日：2014-12-05
Applicant: Xerox Corporation
Inventor： Vladimir Kozitsky , Matthew Shreve , Aaron M. Burry
CPC classification number: G06K9/627 , G06K9/00771 , G06K9/325 , G06K2209/15 , G06N99/005 , G08G1/0175
Abstract: Systems and methods for automating an image rejection process. Features including texture, spatial structure, and image quality characteristics can be extracted from one or more images to train a classifier. Features can be calculated with respect to a test image for submission of the features to the classifier, given an operating point corresponding to a desired false positive rate. One or more inputs can be generated from the classifier as a confidence value corresponding to a likelihood of, for example: a license plate being absent in the image, the license plate being unreadable, or the license plate being obstructed. The confidence value can be compared against a threshold to determine if the image(s) should be removed from a human review pipeline, thereby reducing images requiring human review.
Abstract translation: 用于自动化镜像抑制过程的系统和方法。 可以从一个或多个图像中提取包括纹理，空间结构和图像质量特征的特征来训练分类器。 给定对应于所需假阳性率的操作点，可以相对于用于将特征提交给分类器的测试图像来计算特征。 可以从分类器产生一个或多个输入作为对应于例如图像中不存在牌照，牌照不可读或牌照妨碍的可能性的置信度值。 可以将置信度值与阈值进行比较，以确定图像是否应从人类审查管道中移除，从而减少需要人工审查的图像。
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公开(公告)号：US09400936B2
公开(公告)日：2016-07-26
申请号：US14567000
申请日：2014-12-11
Applicant: Xerox Corporation
Inventor： Orhan Bulan , Howard Mizes , Vladimir Kozitsky , Aaron M. Burry
CPC classification number: G06K9/3241 , G06K9/3258 , G06K9/723 , G06K2209/01 , G06K2209/15
Abstract: Methods and systems for tag recognition in captured images. A candidate region can be localized from regions of interest with respect to a tag and a tag number shown in the regions of interest within a side image of a vehicle. A number of confidence levels can then be calculated with respect to each digit recognized as a result of an optical character recognition operation performed with respect to the tag number. Optimal candidates within the candidate region can be determined for the tag number based on individual character confidence levels among the confidence levels. Optimal candidates from a pool of valid tag numbers can then be validated using prior appearance probabilities and data returned, which is indicative of the most probable tag to be detected to improve image recognition accuracy.
Abstract translation: 捕获图像中标签识别的方法和系统。 候选区域可以相对于标签和感兴趣区域中所示的在车辆侧面图像内的标签号进行定位。 然后可以相对于作为对标签号执行的光学字符识别操作的结果识别的每个数字来计算多个置信水平。 可以基于置信水平中的个人字符置信水平来确定候选区域内的最佳候选人的标签号码。 然后可以使用先前出现的概率和返回的数据来验证来自有效标签号码池的最佳候选者，这表示要检测的最可能标签以提高图像识别精度。
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23.发明申请公开(公告)号：US20160162761A1
公开(公告)日：2016-06-09
申请号：US14564347
申请日：2014-12-09
Applicant: Xerox Corporation
Inventor： Orhan Bulan , Howard Mizes , Vladimir Kozitsky , Aaron M. Burry
IPC: G06K9/72 , G06K9/42 , G06K9/46 , G06K9/00 , G06K9/60 , G06K9/62 , G06K9/78 , G06K9/32 , G06K9/58
CPC classification number: G06K9/00456 , G06K9/00771 , G06K9/325 , G06K2209/01 , G06K2209/15
Abstract: Methods and systems for localizing numbers and characters in captured images. A side image of a vehicle captured by one or more cameras can be preprocessed to determine a region of interest. A confidence value of series of windows within regions of interest of different sizes and aspect ratios containing a structure of interest can be calculated. Highest confidence candidate regions can then be identified with respect to the regions of interest and at least one region adjacent to the highest confidence candidate regions. An OCR operation can then be performed in the adjacent region. An identifier can then be returned from the adjacent region in order to localize numbers and characters in the side image of the vehicle.
Abstract translation: 用于本地化捕获图像中的数字和字符的方法和系统。 可以对由一个或多个摄像机捕获的车辆的侧面图像进行预处理，以确定感兴趣的区域。 可以计算不同尺寸和高宽比的感兴趣区域中的一系列窗口的置信度值，其中包含感兴趣的结构。 然后可以相对于感兴趣区域和与最高置信候选区域相邻的至少一个区域来识别最高置信候选区域。 然后可以在相邻区域中执行OCR操作。 然后可以从相邻区域返回标识符，以便定位车辆侧面图像中的数字和字符。
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公开(公告)号：US20160035037A1
公开(公告)日：2016-02-04
申请号：US14446938
申请日：2014-07-30
Applicant: Xerox Corporation
Inventor： Orhan Bulan , Aaron M. Burry , Abu S. Islam , Peter Paul , David Martin Todd Jackson
CPC classification number: G06Q40/08 , G06K9/3258 , G06K9/4661
Abstract: A video sequence can be continuously acquired at a predetermined frame rate and resolution by an image capturing unit installed at a location. A video frame can be extracted from the video sequence when a vehicle is detected at an optimal position for license plate recognition by detecting a blob corresponding to the vehicle and a virtual line on an image plane. The video frame can be pruned to eliminate a false positive and multiple frames with respect to a similar vehicle before transmitting the frame via a network. A license plate detection/localization can be performed on the extracted video frame to identify a sub-region with respect to the video frame that are most likely to contain a license plate. A license plate recognition operation can be performed and an overall confidence assigned to the license plate recognition result.
Abstract translation: 可以通过安装在位置的图像捕获单元以预定的帧率和分辨率连续地获取视频序列。 当在车牌识别的最佳位置检测到车辆时，可以通过检测与车辆相对应的车队和图像平面上的虚拟线路，从视频序列中提取视频帧。 在通过网络发送帧之前，可以修剪视频帧以消除相对于类似车辆的假正和多帧。 可以对所提取的视频帧执行车牌检测/定位，以识别相对于最可能包含车牌的视频帧的子区域。 可以执行车牌识别操作，并且得到分配给牌照识别的总体置信度。
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25.发明申请METHOD AND SYSTEM FOR AUTOMATED SEQUENCING OF VEHICLES IN SIDE-BY-SIDE DRIVE-THRU CONFIGURATIONS VIA APPEARANCE-BASED CLASSIFICATION 有权通过基于外观的分类，在侧面驱动 - 配置中的车辆自动排序的方法和系统公开(公告)号：US20150310615A1
公开(公告)日：2015-10-29
申请号：US14632587
申请日：2015-02-26
Applicant: Xerox Corporation
Inventor： Orhan Bulan , Edgar A. Bernal , Aaron M. Burry , Yusuf Oguzhan Artan
CPC classification number: G06K9/00785 , G06K9/00771 , G06K9/4609 , G06K9/6212 , G06K9/6267 , G06Q50/12 , G06T7/0044 , G06T7/20 , G06T7/74 , G06T2207/20081 , G06T2207/30236 , G06T2207/30248 , H04N5/23229
Abstract: This disclosure provides a method and system for automated sequencing of vehicles in side-by-side drive-thru configurations via appearance-based classification. According to an exemplary embodiment, an automated sequencing method includes computer-implemented method of automated sequencing of vehicles in a side-by-side drive-thru, the method comprising: a) an image capturing device capturing video of a merge-point area associated with multiple lanes of traffic merging; b) detecting in the video a vehicle as it traverses the merge-point area; c) classifying the detected vehicle associated with traversing the merge-point area as coming from one of the merging lanes; and d) aggregating vehicle classifications performed in step c) to generate a merge sequence of detected vehicles.
Abstract translation: 本公开提供了一种通过基于外观的分类来并行驱动通过配置的车辆的自动排序的方法和系统。 根据示例性实施例，自动排序方法包括以并行驱动的车辆的自动排序的计算机实现的方法，所述方法包括：a）图像捕获装置，其捕获与相关联的合并点区域的视频 多个车道合并; b）当车辆横穿合并点区域时，视频中检测车辆; c）将与遍历合并点区域相关联的检测到的车辆分类为来自合并车道之一; 以及d）聚合在步骤c）中执行的车辆分类，以产生检测到的车辆的合并序列。
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Patent Agency Ranking
公开(公告)号：US09503706B2
公开(公告)日：2016-11-22
申请号：US14022488
申请日：2013-09-10
Applicant: XEROX CORPORATION
Inventor： Robert P. Loce , Wencheng Wu , Thomas F. Wade , Daniel S. Hann , Peter Paul , Aaron M. Burry
CPC classification number: H04N13/239 , G06K9/00785 , G06Q20/145 , G06Q20/38 , G06T7/285 , G06T2207/30256 , H04N7/181
Abstract: Methods and devices acquire images using a stereo camera or camera network aimed at a first location. The first location comprises multiple parallel primary lanes merging into a reduced number of at least one secondary lane, and moving items within the primary lanes initiate transactions while in the primary lanes and complete the transactions while in the secondary lane. Such methods and devices calculate distances of the moving items from the camera to identify in which of the primary lanes each of the moving items was located before merging into the secondary lane. These methods and devices then order the transactions in a merge order corresponding to a sequence in which the moving items entered the secondary lane from the primary lanes. Also, the methods and devices output the transactions in the merge.
Abstract translation: 方法和设备使用瞄准在第一位置的立体相机或照相机网络获取图像。 第一位置包括合并到减少数量的至少一个次级车道中的多个并行主车道，并且主车道内的移动物品在主车道中启动交易，并且在次车道中完成交易。 这些方法和装置计算移动物品与照相机的距离，以识别在合并到次通道之前每个移动物品位于哪个主车道中。 这些方法和设备然后按照与从主车道进入辅助车道的移动物品的序列相对应的合并顺序来排序交易。 此外，方法和设备在合并中输出事务。
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27.发明授权Method and system for automated sequencing of vehicles in side-by-side drive-thru configurations via appearance-based classification 有权通过基于外观的分类，并行驱动通过配置的车辆自动排序方法和系统公开(公告)号：US09483838B2
公开(公告)日：2016-11-01
申请号：US14632587
申请日：2015-02-26
Applicant: Xerox Corporation
Inventor： Orhan Bulan , Edgar A. Bernal , Aaron M. Burry , Yusuf Oguzhan Artan
CPC classification number: G06K9/00785 , G06K9/00771 , G06K9/4609 , G06K9/6212 , G06K9/6267 , G06Q50/12 , G06T7/0044 , G06T7/20 , G06T7/74 , G06T2207/20081 , G06T2207/30236 , G06T2207/30248 , H04N5/23229
Abstract: This disclosure provides a method and system for automated sequencing of vehicles in side-by-side drive-thru configurations via appearance-based classification. According to an exemplary embodiment, an automated sequencing method includes computer-implemented method of automated sequencing of vehicles in a side-by-side drive-thru, the method comprising: a) an image capturing device capturing video of a merge-point area associated with multiple lanes of traffic merging; b) detecting in the video a vehicle as it traverses the merge-point area; c) classifying the detected vehicle associated with traversing the merge-point area as coming from one of the merging lanes; and d) aggregating vehicle classifications performed in step c) to generate a merge sequence of detected vehicles.
Abstract translation: 本公开提供了一种通过基于外观的分类来并行驱动通过配置的车辆的自动排序的方法和系统。 根据示例性实施例，自动排序方法包括以并行驱动的车辆的自动排序的计算机实现的方法，所述方法包括：a）图像捕获装置，其捕获与相关联的合并点区域的视频 多个车道合并; b）当车辆横穿合并点区域时，视频中检测车辆; c）将与遍历合并点区域相关联的检测到的车辆分类为来自合并车道之一; 以及d）聚合在步骤c）中执行的车辆分类，以产生检测到的车辆的合并序列。
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28.发明申请METHOD AND SYSTEM FOR BOOTSTRAPPING AN OCR ENGINE FOR LICENSE PLATE RECOGNITION 有权用于许可证牌识别的OCR发动机的方法和系统公开(公告)号：US20160307061A1
公开(公告)日：2016-10-20
申请号：US14688255
申请日：2015-04-16
Applicant: Xerox Corporation
Inventor： Orhan Bulan , Claude Fillion , Aaron M. Burry , Vladimir Kozitsky
CPC classification number: G06K9/6256 , G06K2209/01 , G06K2209/15
Abstract: Methods and systems for bootstrapping an OCR engine for license plate recognition. One or more OCR engines can be trained utilizing purely synthetically generated characters. A subset of classifiers, which require augmentation with real examples, along how many real examples are required for each, can be identified. The OCR engine can then be deployed to the field with constraints on automation based on this analysis to operate in a “bootstrapping” period wherein some characters are automatically recognized while others are sent for human review. The previously determined number of real examples required for augmenting the subset of classifiers can be collected. Each subset of identified classifiers can then be retrained as the number of real examples required becomes available.
Abstract translation: 引导OCR引擎进行车牌识别的方法和系统。 可以使用纯合成生成的字符来训练一个或多个OCR引擎。 可以识别分类器的一个子集，它们需要通过实例增加，每个需要多少个实例。 然后，可以将OCR引擎部署到具有基于该分析的自动化约束的现场，以在“自举”期间操作，其中一些字符被自动识别，而其他人被发送供人审查。 可以收集先前确定的用于增加分类器子集所需的实例的数量。 随着所需实际数量的可用数量的增加，识别的分类器的每个子集可以被重新训练。
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公开(公告)号：US20150332097A1
公开(公告)日：2015-11-19
申请号：US14278218
申请日：2014-05-15
Applicant: Xerox Corporation
Inventor： Orhan Bulan , Aaron M. Burry , Robert P. Loce
CPC classification number: G06K9/00771 , G06K9/00785 , G06K9/4652 , G06K9/6267 , G06T2207/10016 , G06T2207/10024 , G06T2207/30232 , G06T2207/30236 , G06T2207/30241 , G08G1/0175
Abstract: A method for detecting a vehicle running a stop signal positioned at an intersection includes acquiring a sequence of frames from at least one video camera monitoring an intersection being signaled by the stop signal. The method includes defining a first region of interest (ROI) including a road region located before the intersection on the image plane. The method includes searching the first ROI for a candidate violating vehicle. In response to detecting the candidate violating vehicle, the method includes tracking at least one trajectory of the detected candidate violating vehicle across a number of frames. The method includes classifying the candidate violating vehicle as belonging to one of a violating vehicle and a non-violating vehicle based on the at least one trajectory.
Abstract translation: 用于检测运行位于交叉点处的停止信号的车辆的方法包括从至少一个监视由停止信号通知的交叉路口的摄像机获取帧序列。 该方法包括定义第一感兴趣区域（ROI），其包括位于图像平面上的交点之前的道路区域。 该方法包括搜索候选违反车辆的第一ROI。 响应于检测到候选违禁车辆，该方法包括跟踪检测到的候选违反车辆的至少一个轨迹跨越多个帧。 所述方法包括基于所述至少一个轨迹将候选违禁车辆分类为属于违禁车辆和非违禁车辆中的一种。
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公开(公告)号：US20150213323A1
公开(公告)日：2015-07-30
申请号：US14534790
申请日：2014-11-06
Applicant: Xerox Corporation , The Penn State Research Foundation
Inventor： Raja Bala , Aaron M. Burry , Vishal Monga , Xuan Mo
CPC classification number: G06K9/00785 , G06K9/00335
Abstract: Methods, systems, and processor-readable media for video anomaly detection based upon a sparsity model. A video input can be received and two or more diverse descriptors of an event can be computed from the video input. The descriptors can be combined to form an event matrix. A sparse reconstruction of the event matrix can be performed with respect to an over complete dictionary of training events represented by the diverse descriptors. A step can then be performed to determine if the event is anomalous by computing an outlier rejection measure on the sparse reconstruction.
Abstract translation: 基于稀疏模型的视频异常检测的方法，系统和处理器可读介质。 可以接收视频输入，并且可以从视频输入计算事件的两个或多个不同描述符。 描述符可以组合形成一个事件矩阵。 相对于由不同描述符表示的训练事件的完整字典，可以执行事件矩阵的稀疏重建。 然后可以执行一个步骤，以通过计算稀疏重建的异常值拒绝测量来确定事件是否是异常的。
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